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题名:
An Offline Optimization and Online Table Lookup Strategy of Two-layer Model Predictive Control
作者: Zheng HY(郑洪宇)1; Zou T(邹涛)2; Hu JT(胡静涛)2; Yu HB(于海斌)2
作者部门: 工业控制网络与系统研究室
通讯作者: Zou T(邹涛)
关键词: Dynamic optimization ; Linear systems ; Predictive control ; Optimization ; Steady-state target calculation
刊名: IEEE Access
ISSN号: 2169-3536
出版日期: 2018
收录类别: EI
EI收录号: 20183205663533
产权排序: 2
项目资助者: National Key Research and Development Program of China under Grant 2017YFA0700303, and in part by the National Natural Science Foundation of China under Grant 61773366.
摘要: Two-layer model predictive control is restricted in the field of high real-time control and poor computational controller, due to the high computational complexity. In this paper, we propose an offline optimization and online table look-up strategy of two-layer model predictive control to address the problem. In the upper layer of steady-state target calculation, offline optimization and online table look-up is developed to calculate steady-state targets. In the lower layer of dynamic optimization, an unconstrained model predictive control is adopted to track the steady-state targets from the upper layer. For the case that online table look-up method is infeasible, multi-parametric LP and linear weighted sum methods are presented. An exhaustive simulation of a fat system is made to explore the performance of the strategy of two-layer model predictive control. Furthermore, the properties of computation complexity, steady-state and robustness are examined from the point of implementation. Simulated studies demonstrate the effectiveness of the proposed strategy.
语种: 英语
内容类型: 期刊论文
URI标识: http://210.72.131.170/handle/173321/22448
Appears in Collections:工业控制网络与系统研究室_期刊论文

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作者单位: 1.College of Information Science and Engineering, Northeastern University, Shenyang 110819 China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

Recommended Citation:
Zheng HY,Zou T,Hu JT,et al. An Offline Optimization and Online Table Lookup Strategy of Two-layer Model Predictive Control[J]. IEEE Access,2018.
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